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GitHub - georgesterpu/avsr-tf1: Audio-Visual Speech ...
https://github.com/georgesterpu/avsr-tf1#:~:text=Audio-Visual%20Speech%20Recognition%20%28AVSR%29%20research%20system%20using%20sequence-to-sequence,is%20an%20open-source%20research%20system%20for%20Speech%20Recognition.
The Best 7 Free and Open Source Speech Recognition ...
https://www.goodfirms.co/blog/best-free-open-source-speech-recognition-software
The Top 1,395 Speech Recognition Open Source Projects …
https://awesomeopensource.com/projects/speech-recognition
Deepspeech ⭐ 18,764. DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. Kaldi ⭐ 11,262. kaldi-asr/kaldi is the official location of the Kaldi project.
pyAudioAnalysis: An Open-Source Python Library for …
https://pubmed.ncbi.nlm.nih.gov/26656189/
This paper presents pyAudioAnalysis, an open-source Python library that provides a wide range of audio analysis procedures including: feature extraction, classification of audio signals, supervised and unsupervised segmentation and content visualization. pyAudioAnalysis is licensed under the Apache License and is available at GitHub (https://github.com/tyiannak/pyAudioAnalysis/).
100+ Open Audio and Video Datasets | Twine Blog
https://www.twine.net/blog/100-audio-and-video-datasets/
Description: Multilingual Librispeech (MLS) is a large-scale, open-source data set designed to help advance research in automatic speech recognition (ASR). MLS is designed to help the speech research community work in languages beyond just English so people around the world can benefit from improvements in a wide range of AI-powered services.
Audio-Visual Speech Recognition - Papers With Code
https://paperswithcode.com/task/audio-visual-speech-recognition/codeless
Audio-Visual Speech Recognition is Worth 32 × 32 × 8 Voxels. no code yet • 20 Sep 2021. In this work, we propose to replace the 3D convolutional visual front-end with a video transformer front-end. Audio-Visual Speech Recognition automatic-speech …
[2109.09536] Audio-Visual Speech Recognition is Worth …
https://arxiv.org/abs/2109.09536
Abstract: Audio-visual automatic speech recognition (AV-ASR) introduces the video modality into the speech recognition process, often by relying on information conveyed by the motion of the speaker's mouth. The use of the video signal requires extracting visual features, which are then combined with the acoustic features to build an AV-ASR system [1].
Google AI Blog: Looking to Listen: Audio-Visual Speech ...
https://ai.googleblog.com/2018/04/looking-to-listen-audio-visual-speech.html
An Audio-Visual Speech Separation Model To generate training examples, we started by gathering a large collection of 100,000 high-quality videos of lectures and talks from YouTube. From these videos, we extracted segments with a clean speech (e.g. no mixed music, audience sounds or other speakers) and with a single speaker visible in the video ...
VISUALVOICE: Audio-Visual Speech Separation with Cross ...
https://vision.cs.utexas.edu/projects/VisualVoice/gao2021VisualVoice.pdf
channel speech separation, but unlike traditional audio-only methods, we use visual information to guide separation. Audio-Visual Source Separation. Early methods that leverage audio-visual (AV) cues for source separation use techniques such as mutual information [34,20], audio-visual independent component analysis [67,60], and non-
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